8 citations · 9 across the 3 of their papers we have counts for
3 papers
Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency
Svetlana Maslenkova, Clement Christophe, Marco AF Pimentel +7
Large language models offer transformative potential for healthcare, yet their responsible and equitable development depends critically on a deeper understanding of how training da…
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Clément Christophe, Tathagata Raha, Svetlana Maslenkova +4
Large Language Models (LLMs) have demonstrated significant potential in transforming clinical applications. In this study, we investigate the efficacy of four techniques in adaptin…
MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Praveenkumar Kanithi, Clément Christophe, Marco AF Pimentel +8
While Large Language Models (LLMs) achieve superhuman performance on standardized medical licensing exams, these static benchmarks have become saturated and increasingly disconnect…